#散点矩阵图
# import numpy as np
# from pandas import read_csv
# import matplotlib.pyplot as plt
# filename = 'pima_data.csv'
# names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
# data = read_csv(filename, names=names)
# correlations = data.corr()
# fig = plt.figure()
# ax = fig.add_subplot(111)
# cax = ax.matshow(correlations, vmin=-1, vmax=1)
# fig.colorbar(cax)
# ticks = np.arange(0,9,1)
# ax.set_xticks(ticks)
# ax.set_yticks(ticks)
# ax.set_xticklabels(names)
# ax.set_yticklabels(names)
# plt.show()

import numpy as np
from pandas import read_csv
import matplotlib.pyplot as plt
from pandas.plotting import scatter_matrix
filename = 'pima_data.csv'
names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
data = read_csv(filename, names=names)
scatter_matrix(data)
plt.show()